ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3807
Single Precision Score
1551
Half Precision Score
6398
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 01:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
3589
669.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2928
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7505
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5330
6.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
25791
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
5858
470.8 IPS |
|
|
Face Detection (SP)
|
100% |
7156
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10021
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8997
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13979
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14748
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10331
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21753
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4616
170.9 IPS |
|
|
Text Classification (SP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3306
66.4 IPS |
